Computational Research Scientist, Simmons Cancer Center
Core
Lead machine-learning efforts to identify novel therapeutic targets and guide the engineering of next-generation immunotherapies for cancer.
Role type
Senior computational research scientist (cancer immunology & genomics)
Builds
Predictive models integrating multi-omic and functional data; engineered immune cells and novel therapeutic molecules
Domain
Cancer genomics, immunology, and cell therapy
Deliverable
production ML models | product features
Required skills
machine learning, multi-omic data integration, deep learning, protein design, high-dimensional data interpretation, experimental design, scientific mentorship
Preferred skills
post-doctoral fellowship experience, experience in driving computational biology projects
Technologies
deep learning frameworks, genomics tools, single-cell analysis platforms
Responsibilities
Build predictive models integrating genomic, transcriptomic, epigenomic, single-cell, and functional-screen data; Drive immunotherapy engineering via antigen/neoantigen discovery and protein design; Develop methods for interpreting high-dimensional and perturbation data; Partner with wet-lab scientists to design experiments and iterate between computation and bench; Lead and mentor trainees and staff; Communicate results through publications and presentations
